Explore the impact of user reviews on Android app security and privacy in this IEEE conference talk. Examine how users communicate security and privacy concerns through app reviews and how developers respond to these concerns. Learn about a study using natural language processing on 4.5 million user reviews to identify security and privacy-relevant feedback. Discover the relationship between user reviews and privacy-related app updates, and understand the role of runtime permissions in increasing user awareness of privacy issues. Investigate the challenges developers face in meeting user privacy expectations and adhering to market regulations. Gain insights into the importance of app transparency and the need for better tools to support developers in implementing security and privacy best practices.
Short Text, Large Effect - Measuring the Impact of User Reviews on Android App Security & Privacy
Overview
Syllabus
Introduction
What are user reviews
Three questions
Approach
Crawler
Defining SBR
SBR Examples
Validation
OC Metric
Perfect Classifier
Security Privacy Related
Empirical Results
Security Privacy Updates
SPR vs SVU
SP vs SVU
Do reviews need to be secure
Regression
Summary
Conclusion
Batf
Questions
Developer retractions
App permissions
Feedback to developers
Taught by
IEEE Symposium on Security and Privacy
